xQTLatlas: A Resource for Genetic Regulatory Landscape
Author Information
Author(s): Jia Yuran, Dong Hongchao, Li Linhao, Wang Fang, Juan Liran, Wang Yadong, Guo Hongzhe, Zhao Tianyi
Primary Institution: Harbin Institute of Technology
Hypothesis
The study aims to create a comprehensive database that integrates multi-omics genetic regulatory landscapes at cellular resolution.
Conclusion
xQTLatlas provides a valuable resource for understanding how genetic variants influence molecular phenotypes across different cellular contexts.
Supporting Evidence
- xQTLatlas compiles xQTL summary statistics from 151 cell types and 339 cell states across 55 human tissues.
- The database features multiscale data exploration tools and interactive visualizations.
- xQTLatlas is the first comprehensive database to systematically organize multi-omics genetic structures at the cellular level.
Takeaway
xQTLatlas is like a big library that helps scientists understand how genes work in different types of cells.
Methodology
The database integrates 796 datasets from various studies, categorizing them by cell types, states, and xQTL discovery methods.
Limitations
The current version does not include trans-xQTL data due to limited availability.
Participant Demographics
Data is sourced from diverse populations categorized in the 1000 Genomes Project.
Statistical Information
P-Value
p<0.05
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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